Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Chiang Heng Chien"'
Publikováno v:
IEEE Access, Vol 9, Pp 103266-103278 (2021)
Estimating relative camera pose is the key problem of visual odometry (VO). To achieve better efficiency, sparse key-points are usually relied on for the estimation. Yet, feature extraction and matching are still computationally demanding, hindering
Externí odkaz:
https://doaj.org/article/96197acaf94f4e32b91b94eada6bb306
Publikováno v:
IEEE Access, Vol 7, Pp 34631-34644 (2019)
In this paper, a novel parallel indirect visual odometry (VO) system is proposed based on a newly designed map management method, key-frame selection, and a camera pose correction model, where the speeded-up robust features (SURF) algorithm is used t
Externí odkaz:
https://doaj.org/article/dedc6b2837c0425a8085148a87beda4b
Publikováno v:
IEEE Sensors Journal. 20:2738-2747
This paper proposes an indirect visual simultaneous localization and mapping (V-SLAM) for large-scale outdoor environments based on linear models. With the scale-invariant feature transform (SIFT) algorithm, a design combining key-frame insertion and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::521381ebab8d8f9108dcd99303d45521
https://doi.org/10.1109/jsen.2019.2952722
https://doi.org/10.1109/jsen.2019.2952722
Publikováno v:
Electronics, Vol 10, Iss 1632, p 1632 (2021)
Electronics
Volume 10
Issue 14
Electronics
Volume 10
Issue 14
In this paper, we propose an FPGA-based enhanced-SIFT with feature matching for stereo vision. Gaussian blur and difference of Gaussian pyramids are realized in parallel to accelerate the processing time required for multiple convolutions. As for the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::51e83668b6baaf15c9f188978b16d9ca
https://www.mdpi.com/2079-9292/10/14/1632
https://www.mdpi.com/2079-9292/10/14/1632
Publikováno v:
IEEE Access, Vol 7, Pp 34631-34644 (2019)
In this paper, a novel parallel indirect visual odometry (VO) system is proposed based on a newly designed map management method, key-frame selection, and a camera pose correction model, where the speeded-up robust features (SURF) algorithm is used t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::10cf146151392fb1e42ee6b304e62aa4
https://doi.org/10.1109/access.2019.2904142
https://doi.org/10.1109/access.2019.2904142
Autor:
Chiang-Heng Chien, Hongyi Fan, Ahmad Abdelfattah, Elias Tsigaridas, Stanimire Tomov, Benjamin Kimia
Systems of polynomial equations arise frequently in computer vision, especially in multiview geometry problems. Traditional methods for solving these systems typically aim to eliminate variables to reach a univariate polynomial, e.g., a tenth-order p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f82363e00629633df0eb6407d5494cb5
Autor:
Chiang Heng Chien, Yin Tien Wang, Chen-Chien Hsu, Wei-Yen Wang, Cheng Kai Yang, Yi Hsing Chien
Publikováno v:
Engineering Computations. 34:1217-1239
Purpose FastSLAM is a popular method to solve the problem of simultaneous localization and mapping (SLAM). However, when the number of landmarks present in real environments increases, there are excessive comparisons of the measurement with all the e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::92141f27cad912c22b15baca8376bc17
https://doi.org/10.1108/ec-05-2015-0123
https://doi.org/10.1108/ec-05-2015-0123
Publikováno v:
Applied Soft Computing. 50:260-279
Performance of the multi-objective particle swarm optimization (MOPSO) is improved by devising a novel archiving strategy.Premature convergence by Monte Carlo localization during the localization process can be easily detected by three proposed rules
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c6943a1daddd6ece8f0106b5a6b3f143
https://doi.org/10.1016/j.asoc.2016.11.020
https://doi.org/10.1016/j.asoc.2016.11.020
Publikováno v:
2019 4th International Conference on Robotics and Automation Engineering (ICRAE).
In the field of visual odometry (VO) or SLAM, deriving camera poses from image features is the basic issue. Even though feature-based VO or SLAM are more efficient than non-feature-based methods, they are still unfortunately computationally demanding
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5d458f2087a40ec7bc8be5730d343727
https://doi.org/10.1109/icrae48301.2019.9043811
https://doi.org/10.1109/icrae48301.2019.9043811
Publikováno v:
2019 2nd International Conference on Intelligent Autonomous Systems (ICoIAS).
Providing low cost and rich information, visual sensors are becoming the top choice for automatic systems. Particularly in the field of navigations or SLAM technologies, extracting and matching features are the basic aspects. This paper addresses the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bc31091a20dcd6ea13c17c3e70ff4394
https://doi.org/10.1109/icoias.2019.00013
https://doi.org/10.1109/icoias.2019.00013